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Article: Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning

TitleAccelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning
Authors
KeywordsMain memory engines
Parallel and distributed RDF systems
SPARQL query processing
Issue Date2016
Citation
The VLDB Journal, 2016, v. 25, p. 355-380 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/230219
ISSN
2021 Impact Factor: 4.243
2020 SCImago Journal Rankings: 0.653
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHarbi, R-
dc.contributor.authorAbdelaziz, I-
dc.contributor.authorKalnis, P-
dc.contributor.authorMamoulis, N-
dc.contributor.authorEbrahim, Y-
dc.contributor.authorSahli, M-
dc.date.accessioned2016-08-23T14:15:48Z-
dc.date.available2016-08-23T14:15:48Z-
dc.date.issued2016-
dc.identifier.citationThe VLDB Journal, 2016, v. 25, p. 355-380-
dc.identifier.issn1066-8888-
dc.identifier.urihttp://hdl.handle.net/10722/230219-
dc.languageeng-
dc.relation.ispartofThe VLDB Journal-
dc.subjectMain memory engines-
dc.subjectParallel and distributed RDF systems-
dc.subjectSPARQL query processing-
dc.titleAccelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning-
dc.typeArticle-
dc.identifier.emailMamoulis, N: nikos@cs.hku.hk-
dc.identifier.authorityMamoulis, N=rp00155-
dc.identifier.doi10.1007/s00778-016-0420-y-
dc.identifier.scopuseid_2-s2.0-84957536023-
dc.identifier.hkuros262968-
dc.identifier.volume25-
dc.identifier.spage355-
dc.identifier.epage380-
dc.identifier.eissn0949-877X-
dc.identifier.isiWOS:000376263400004-
dc.identifier.issnl1066-8888-

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